Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Science of Surveying and Mapping》 2016-08
Add to Favorite Get Latest Update

Precision analysis of surface subsidence prediction parameters

LIU Weitao;LIU Huan;CHEN Zhixing;LI Mei;School of Mining and Safety Engineering,Shandong University of Science and Technology;Key Laboratory of Virtual Geographical Environment for the Ministry of Education,Nanjing Normal University;  
According to the fact that the mining prediction parameters can cause deviation of the predicted results,this paper presented a method to study the precision of mining subsidence prediction parameters.Based on the true value,the prediction parameters were expected after 0.5%increasement and decreasement,the corresponding values of surface subsidence were achieved.Prediction parameters were obtained through the analysis the impact of survey errors.The results showed that,for every 0.5% change of prediction parameters,mean square error of subsidence value accounted for 0.8% of the maximum subsidence value,and the mean square error of incline subsidence value was twice of the mean square error of strike subsidence value.Meanwhile,sinking value measurement mean square error and prediction parameters error demonstrated a linear relationship.The results provided a basis for precision control of the survey,and provided reliable prediction parameters to calculate.
【Fund】: 国家自然科学基金项目(51274135 51034003)
【CateGory Index】: P642.26
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved